Kirill Bykov

Kirill Bykov is currently pursuing his doctoral research in Machine Learning at the Technical University of Berlin (TU Berlin). He is a member of the Understandable Machine Intelligence lab, under the guidance of Prof. Dr. Marina Höhne. Prior to embarking on his doctoral journey, Kirill earned a Cum Laude Master’s degree in Computer Science Engineering from TU Berlin and TU Eindhoven, as part of EIT Digital double-degree program. His academic foundation was laid with a Bachelor’s degree in Applied Mathematics and Computer Science from Saint-Petersburg State University. Kirill’s research primarily focuses on Explainable AI. He has a particular interest in global explanation methods, mechanistic interpretability, and Bayesian Neural Networks.